renjie3 / TUELinks
Code for Transferable Unlearnable Examples
☆20Updated 2 years ago
Alternatives and similar repositories for TUE
Users that are interested in TUE are comparing it to the libraries listed below
Sorting:
- Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)☆20Updated 10 months ago
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆26Updated 2 years ago
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆51Updated 2 years ago
- CVPR2023: Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples☆22Updated 2 years ago
- Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregatio…☆26Updated last year
- The official code of IEEE S&P 2024 paper "Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferabili…☆19Updated 11 months ago
- Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples☆108Updated 3 years ago
- ☆30Updated last year
- code for "Feature Importance-aware Transferable Adversarial Attacks"☆83Updated 3 years ago
- Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"☆18Updated 4 months ago
- APBench: A Unified Availability Poisoning Attack and Defenses Benchmark (TMLR 08/2024)☆31Updated 3 months ago
- ☆52Updated 3 years ago
- Beyond imagenet attack (accepted by ICLR 2022) towards crafting adversarial examples for black-box domains.☆60Updated 3 years ago
- Codes for CVPR2020 paper "Towards Transferable Targeted Attack".☆15Updated 3 years ago
- Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability☆22Updated 2 years ago
- A curated list of papers for the transferability of adversarial examples☆72Updated last year
- Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks(CVPR2023)☆17Updated 2 years ago
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated 2 years ago
- CVPR 2025 - Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models☆41Updated last month
- Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.☆18Updated 2 years ago
- [NeurIPS 2023] Boosting Adversarial Transferability by Achieving Flat Local Maxima☆31Updated last year
- ☆35Updated last year
- Revisiting Transferable Adversarial Images (arXiv)☆124Updated 4 months ago
- ☆35Updated last year
- Generalized Data-free Universal Adversarial Perturbations in PyTorch☆19Updated 4 years ago
- ☆35Updated 2 years ago
- Official code for "Boosting the Adversarial Transferability of Surrogate Model with Dark Knowledge"☆11Updated last year
- ☆22Updated 2 years ago
- ☆44Updated last year
- ☆58Updated 3 years ago